Heavyweight Semantic Inducement for Requirement Elicitation and Analysis

Requirement process for networked software is a human-web interaction. Requirement elicitation and analysis are emerging as a critical issue for supporting requirement modeling, as these are designed to satisfy diverse stakeholder service needs and evolution network environment. This paper proposed a heavyweight semantic inducement (HSI) approach for requirement elicitation and analysis. The HSI approach enables to encapsulate the domain knowledge of different views (ontology, goals, processes and services) into domain model and provides strong semantical supports for requirement elicitation and analysis. Beginning with developing an domain mode based on ORGPS, the HSI approach could analyze automatically which requirements should be added for improving completeness and which requirements should be deleted for keeping consistency according to semantic match rules, and facilitate the just-in-time development and requirements evolution. The actual application and experimental results show that the HSI approach can accommodate better to the adaptable requirements in networked environment, and can continuously evolve with lower cost.